The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah's Witness: a case report - Forschungsportal der Justus-Liebig-Universität Gießen:

Journalartikel

The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah's Witness: a case report

Autorenliste: Denn, Sara; Schneck, Emmanuel; Jablawi, Fidaa; Bender, Michael; Schmidt, Goetz; Habicher, Marit; Uhl, Eberhard; Sander, Michael

Jahr der Veröffentlichung: 2022

Zeitschrift: Journal of Medical Case Reports

Bandnummer: 16

Heftnummer: 1

eISSN: 1752-1947

Open Access Status: Gold

DOI Link: https://doi.org/10.1186/s13256-022-03653-8

Verlag: BioMed Central

Abstract:
Background The Hypotension Prediction Index (HPI) displays an innovative monitoring tool which predicts intraoperative hypotension before its onset. Case presentation We report the case of an 84-year-old Caucasian woman undergoing major spinal surgery with no possibility for the transfer of blood products given her status as a Jehovah's Witness. The hemodynamic treatment algorithm we employed was based on HPI and resulted in a high degree of hemodynamic stability during the surgical procedure. Further, the patient was not at risk for either hypo- or hypervolemia, conditions which might have caused dilution anemia. By using HPI as a tool for patient blood management, it was possible to reduce the incidence of intraoperative hypotension to a minimum. Conclusions In sum, this HPI-based treatment algorithm represents a useful application for the treatment of complex anesthesia and perioperative patient blood management. It is a simple but powerful extension of standard monitoring for the prevention of intraoperative hypotension.

Zitierstile

Harvard-Zitierstil: Denn, S., Schneck, E., Jablawi, F., Bender, M., Schmidt, G., Habicher, M., et al. (2022) The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah's Witness: a case report, Journal of Medical Case Reports, 16(1), Article 412. https://doi.org/10.1186/s13256-022-03653-8

APA-Zitierstil: Denn, S., Schneck, E., Jablawi, F., Bender, M., Schmidt, G., Habicher, M., Uhl, E., & Sander, M. (2022). The use of artificial intelligence and machine learning monitoring to safely administer a fluid-restrictive goal-directed treatment protocol to minimize the risk of transfusion during major spine surgery of a Jehovah's Witness: a case report. Journal of Medical Case Reports. 16(1), Article 412. https://doi.org/10.1186/s13256-022-03653-8

Zitierstile

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